Data analytics for cultural heritage : current trends and concepts / Abdelhak Belhi, Abdelaziz Bouras, Abdulaziz Khalid Al-Ali, Abdul Hamid Sadka, editors.
Belhi, Abdelhak, editor.; Bouras, Abdelaziz, editor.; Al-Ali, Abdulaziz Khalid, editor.; Sadka, Abdul Hamid, editor.
2021
CC135 .D38 2021
Available Online

Linked e-resources

Linked Resource Online Access
Concurrent users Unlimited
Authorized users Authorized users
Document Delivery Supplied Can lend chapters, not whole ebooks

Details

Title Data analytics for cultural heritage : current trends and concepts / Abdelhak Belhi, Abdelaziz Bouras, Abdulaziz Khalid Al-Ali, Abdul Hamid Sadka, editors.
ISBN 9783030667771 (electronic bk.)
3030667774 (electronic bk.)
3030667766
9783030667764
DOI https://doi.org/10.1007/978-3-030-66777-1
Published Cham, Switzerland : Springer, [2021]
Language English
Description 1 online resource
Item Number 10.1007/978-3-030-66777-1 doi
Call Number CC135 .D38 2021
Dewey Decimal Classification 930.10285
Summary This book considers the challenges related to the effective implementation of artificial intelligence (AI) and machine learning (ML) technologies to the cultural heritage digitization process. Particular focus is placed on improvements to the data acquisition stage, as well as the data enrichment and curation stages, using advanced artificial intelligence techniques and tools. An emphasis is placed on recent applications related to deep learning for visual recognition, generative models, natural language processing, and super resolution. The book is a valuable reference for researchers working in the multidisciplinary field of cultural heritage and AI, as well as professional experts in the art and culture domains, such as museums, libraries, and historic sites and buildings. Reports on techniques and methods that leverage AI and machine learning and their impact on the digitization of cultural heritage; Addresses challenges of improving data acquisition, enrichment and management processes; Highlights contributions from international researchers from diverse fields and subject areas.
Note Includes index.
Access Note Access limited to authorized users.
Source of Description Online resource; title from digital title page (viewed on April 20, 2021).
Added Author Belhi, Abdelhak, editor.
Bouras, Abdelaziz, editor.
Al-Ali, Abdulaziz Khalid, editor.
Sadka, Abdul Hamid, editor.
Available in Other Form Print version: 9783030667764
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
All Resources
NoisyArt: Exploiting the Noisy Web for Zero-shot Classification and Artwork Instance Recognition
Cultural Heritage Image Classification
Study and Evaluation of Pre-trained CNN Networks for Cultural Heritage Image Classification
Visual Classification of Intangible Cultural Heritage Images in the Mekong Delta
Digital Image Inpainting Techniques for Cultural Heritage Preservation and Restoration
Crowd Source Framework for Indian Digital Heritage Space
A Robust Method for Text, Line, and Word Segmentation for Historical Arabic Manuscripts
Aesthetical Issues with Stochastic Evaluation
3D Visual Interaction for Cultural Heritage Sector
Retrieving Visually Linked Digitized Paintings
Named Entity Recognition for Cultural Heritage Preservation.

Browse Subjects

Show more subjects...

Statistics

from
to
Export